시험대비SPLK-1002인증덤프샘플다운로드인증공부

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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Filtering and Formatting Results	15%	- Use search and where commands - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands
Creating Tags and Event Types	10%	- Define event types to categorize events - Use tags and event types in searches - Create and apply tags to fields or values
Using Macros	10%	- Add and use arguments in macros - Manage macro permissions and sharing - Create and reuse search macros
Creating and Using Workflow Actions	10%	- Describe GET, POST, and Search workflow actions - Create and configure workflow actions - Use workflow actions to extend searches
Correlating Events	15%	- Compare transactions vs stats commands - Identify and use transactions - Group events by fields and time
Creating Data Models	10%	- Understand data models and Pivot - Create and use data models - Define data model objects and attributes
Transforming Commands and Visualizations	15%	- Create and customize visualizations - Use transforming commands to structure data - Format results for presentation
Using the Common Information Model (CIM) Add-On	5%	- Describe Splunk CIM purpose and structure - Use CIM to standardize data across sources - Normalize data using CIM knowledge objects
Creating and Using Field Aliases and Calculated Fields	10%	- Create calculated fields with eval - Manage field extractions and aliases - Define and use field aliases

>> SPLK-1002인증덤프 샘플 다운로드 <<

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우리Itcertkr 사이트에서Splunk SPLK-1002관련자료의 일부 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다.체험 후 우리의Itcertkr에 신뢰감을 느끼게 됩니다.빨리 우리 Itcertkr의 덤프를 만나보세요.

최신 Splunk Core Certified Power User SPLK-1002 무료샘플문제 (Q218-Q223):

질문 # 218
These kinds of fields are identified in your data at INDEX time. ----ans ?able

A. Default fields
B. Data-specific fields

정답：A

질문 # 219
Which of the following searches show a valid use of macro? (Select all that apply)

A. index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time
newField
B. index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
C. index=main source=mySource oldField=* | "'newField('makeMyField(oldField)')'" | table _time newField
D. index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField

정답：A,B

설명：
Reference:https://answers.splunk.com/answers/574643/field-showing-an-additional-and-not-visible-value-1.html
To use a macro in a search, you must enclose the macro name and any arguments in single quotation marks1.
For example, 'my_macro(arg1,arg2)' is a valid way to use a macro with two arguments. You can use macros
anywhere in your search string where you would normally use a search command or expression1. Therefore,
options A and C are valid searches that use macros, while options B and D are invalid because they do not
enclose the macros in single quotation marks.

질문 # 220
When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied.
(Select all that apply).

A. NOT
B. OR
C. AND
D. ( )

정답：A,B,D

질문 # 221
Which of the following statements describe the search string below?
dacamodel Application_State All_Application_State search

A. Events will be returned from dataset named Application_state.
B. Events will be returned from the data model named Application_State.
C. Events will be returned from the data model named All_Application_state.
D. No events will be returned because the pipe should occur after the datamodel command

정답：C

질문 # 222
Which of the following statements is true about the root dataset of a data model?

A. It can contain transforming commands as long as it is a root search dataset.
B. It can only contain a base search with no transforming commands.
C. It will automatically contain knowledge objects associated with the base search.
D. It must contain the transaction command if it is a root transaction dataset.

정답：C

설명：
In Splunk, a data model's root dataset is the foundational element upon which the rest of the data model is built. The root dataset can be of various types, including search, transaction, or event-based datasets. One of the key features of the root dataset is that it automatically inherits the knowledge objects associated with its base search. These knowledge objects include field extractions, lookups, aliases, and calculated fields that are defined for the base search, ensuring that the root dataset has all necessary contextual information from the outset. This allows users to build upon this dataset with additional child datasets and objects without having to redefine the base search's knowledge objects.

질문 # 223
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